{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lab 6\n",
    "\n",
    "## Requirements\n",
    "\n",
    "数据集：lzuwifi.json\n",
    "\n",
    "1. 将linktime改成只有时间，去掉日期，例如'2021-04-01 14:00:00'改为'14:00:00'\n",
    "\n",
    "2. 将ap_name字段替换成楼名称。（tst:天山堂，hlt：贺兰堂，klt:昆仑堂，youyongguan:游泳馆）\n",
    "\n",
    "3. 对账号进行脱敏处理，具体做法是将字母对应的ASCII码+1，例如a变成b,D变成E (z-a,Z-A,9-0)\n",
    "\n",
    "4. 统计该时刻，题目2中的每个楼里有多少终端在线。\n",
    "\n",
    "5. 用图或表展示天山堂各教室的终端数量。\n",
    "\n",
    "提交到：lab6.ipynb\n",
    "\n",
    "## Explanations\n",
    "\n",
    "（1）：可以直接截取\n",
    "\n",
    "（2）：替换并显示结果\n",
    "\n",
    "（3）：None\n",
    "\n",
    "（4）：整个json文件表示一个时刻\n",
    "\n",
    "（5）：重新读数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pre-processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ap_name</th>\n",
       "      <th>ap_mac</th>\n",
       "      <th>ssid</th>\n",
       "      <th>account</th>\n",
       "      <th>mac</th>\n",
       "      <th>linktime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>084f-0a37-30c0</td>\n",
       "      <td>084f0a3730c0</td>\n",
       "      <td>iLZU</td>\n",
       "      <td>qmleu16</td>\n",
       "      <td>ae2887</td>\n",
       "      <td>2021-04-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>084f-0a37-30c0</td>\n",
       "      <td>084f0a3730c0</td>\n",
       "      <td>iLZU</td>\n",
       "      <td>eamrw19</td>\n",
       "      <td>fa341c</td>\n",
       "      <td>2021-04-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0_no_name</td>\n",
       "      <td>5cc9999a3c80</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>9ce33f</td>\n",
       "      <td>2021-04-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0_no_name</td>\n",
       "      <td>5cc9999a3c80</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>3ca616</td>\n",
       "      <td>2021-04-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0_no_name</td>\n",
       "      <td>5cc9999a3c80</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>182195</td>\n",
       "      <td>2021-04-02 08:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27545</th>\n",
       "      <td>yz_youyongguan_01</td>\n",
       "      <td>60da838bc730</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>f89a78</td>\n",
       "      <td>2021-04-02 09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27546</th>\n",
       "      <td>yz_youyongguan_02</td>\n",
       "      <td>60da838bba10</td>\n",
       "      <td>ChinaNet-WiFi</td>\n",
       "      <td></td>\n",
       "      <td>74adb7</td>\n",
       "      <td>2021-04-02 08:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27547</th>\n",
       "      <td>yz_youyongguan_02</td>\n",
       "      <td>60da838bba10</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>cc2d83</td>\n",
       "      <td>2021-04-02 08:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27548</th>\n",
       "      <td>yz_youyongguan_03</td>\n",
       "      <td>60da838bcc10</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>308454</td>\n",
       "      <td>2021-04-02 08:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27549</th>\n",
       "      <td>yz_youyongguan_06</td>\n",
       "      <td>60da838bbe90</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>084acf</td>\n",
       "      <td>2021-04-02 09:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27550 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ap_name        ap_mac           ssid  account     mac  \\\n",
       "0         084f-0a37-30c0  084f0a3730c0           iLZU  qmleu16  ae2887   \n",
       "1         084f-0a37-30c0  084f0a3730c0           iLZU  eamrw19  fa341c   \n",
       "2              0_no_name  5cc9999a3c80            LZU           9ce33f   \n",
       "3              0_no_name  5cc9999a3c80            LZU           3ca616   \n",
       "4              0_no_name  5cc9999a3c80            LZU           182195   \n",
       "...                  ...           ...            ...      ...     ...   \n",
       "27545  yz_youyongguan_01  60da838bc730            LZU           f89a78   \n",
       "27546  yz_youyongguan_02  60da838bba10  ChinaNet-WiFi           74adb7   \n",
       "27547  yz_youyongguan_02  60da838bba10            LZU           cc2d83   \n",
       "27548  yz_youyongguan_03  60da838bcc10            LZU           308454   \n",
       "27549  yz_youyongguan_06  60da838bbe90            LZU           084acf   \n",
       "\n",
       "                  linktime  \n",
       "0      2021-04-02 09:00:00  \n",
       "1      2021-04-02 09:00:00  \n",
       "2      2021-04-02 09:00:00  \n",
       "3      2021-04-02 09:00:00  \n",
       "4      2021-04-02 08:20:00  \n",
       "...                    ...  \n",
       "27545  2021-04-02 09:00:00  \n",
       "27546  2021-04-02 08:40:00  \n",
       "27547  2021-04-02 08:40:00  \n",
       "27548  2021-04-02 08:20:00  \n",
       "27549  2021-04-02 09:00:00  \n",
       "\n",
       "[27550 rows x 6 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pre-processing\n",
    "\n",
    "# Import modules\n",
    "import pandas as pd \n",
    "import numpy as np \n",
    "from matplotlib import pyplot as plt\n",
    "from functools import reduce\n",
    "\n",
    "# Read dataset\n",
    "dataset = pd.read_json('lzuwifi.json', lines=True) \n",
    "dataset\n",
    "# Set `lines=True` for regarding rows as records. Otherwise, `ValueError: Trailing data` will be raised. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 1:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ap_name</th>\n",
       "      <th>ap_mac</th>\n",
       "      <th>ssid</th>\n",
       "      <th>account</th>\n",
       "      <th>mac</th>\n",
       "      <th>linktime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>084f-0a37-30c0</td>\n",
       "      <td>084f0a3730c0</td>\n",
       "      <td>iLZU</td>\n",
       "      <td>qmleu16</td>\n",
       "      <td>ae2887</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>084f-0a37-30c0</td>\n",
       "      <td>084f0a3730c0</td>\n",
       "      <td>iLZU</td>\n",
       "      <td>eamrw19</td>\n",
       "      <td>fa341c</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0_no_name</td>\n",
       "      <td>5cc9999a3c80</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>9ce33f</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0_no_name</td>\n",
       "      <td>5cc9999a3c80</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>3ca616</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0_no_name</td>\n",
       "      <td>5cc9999a3c80</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>182195</td>\n",
       "      <td>08:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27545</th>\n",
       "      <td>yz_youyongguan_01</td>\n",
       "      <td>60da838bc730</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>f89a78</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27546</th>\n",
       "      <td>yz_youyongguan_02</td>\n",
       "      <td>60da838bba10</td>\n",
       "      <td>ChinaNet-WiFi</td>\n",
       "      <td></td>\n",
       "      <td>74adb7</td>\n",
       "      <td>08:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27547</th>\n",
       "      <td>yz_youyongguan_02</td>\n",
       "      <td>60da838bba10</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>cc2d83</td>\n",
       "      <td>08:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27548</th>\n",
       "      <td>yz_youyongguan_03</td>\n",
       "      <td>60da838bcc10</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>308454</td>\n",
       "      <td>08:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27549</th>\n",
       "      <td>yz_youyongguan_06</td>\n",
       "      <td>60da838bbe90</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>084acf</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27550 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ap_name        ap_mac           ssid  account     mac  \\\n",
       "0         084f-0a37-30c0  084f0a3730c0           iLZU  qmleu16  ae2887   \n",
       "1         084f-0a37-30c0  084f0a3730c0           iLZU  eamrw19  fa341c   \n",
       "2              0_no_name  5cc9999a3c80            LZU           9ce33f   \n",
       "3              0_no_name  5cc9999a3c80            LZU           3ca616   \n",
       "4              0_no_name  5cc9999a3c80            LZU           182195   \n",
       "...                  ...           ...            ...      ...     ...   \n",
       "27545  yz_youyongguan_01  60da838bc730            LZU           f89a78   \n",
       "27546  yz_youyongguan_02  60da838bba10  ChinaNet-WiFi           74adb7   \n",
       "27547  yz_youyongguan_02  60da838bba10            LZU           cc2d83   \n",
       "27548  yz_youyongguan_03  60da838bcc10            LZU           308454   \n",
       "27549  yz_youyongguan_06  60da838bbe90            LZU           084acf   \n",
       "\n",
       "       linktime  \n",
       "0      09:00:00  \n",
       "1      09:00:00  \n",
       "2      09:00:00  \n",
       "3      09:00:00  \n",
       "4      08:20:00  \n",
       "...         ...  \n",
       "27545  09:00:00  \n",
       "27546  08:40:00  \n",
       "27547  08:40:00  \n",
       "27548  08:20:00  \n",
       "27549  09:00:00  \n",
       "\n",
       "[27550 rows x 6 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. 将linktime改成只有时间，去掉日期，例如'2021-04-01 14:00:00'改为'14:00:00'\n",
    "\n",
    "dataset['linktime'] = dataset['linktime'].apply(lambda s: s.split()[1]) # Just truncate the slice contains time.\n",
    "dataset # Show result. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 2:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ap_name\n",
       "084f-0a37-30c0       2\n",
       "0_no_name            7\n",
       "183d-5eb3-3ec0       1\n",
       "183d-5eb3-3f80       1\n",
       "183d-5eb3-4460       1\n",
       "                  ... \n",
       "yzsw_cheku           7\n",
       "天山堂               2921\n",
       "昆仑堂                586\n",
       "游泳馆                  5\n",
       "贺兰堂                237\n",
       "Length: 7113, dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2. 将ap_name字段替换成楼名称。（tst:天山堂，hlt：贺兰堂，klt:昆仑堂，youyongguan:游泳馆）\n",
    "\n",
    "apNameMapDict = {\n",
    "    'tst': '天山堂', \n",
    "    'hlt': '贺兰堂',\n",
    "    'klt': '昆仑堂',\n",
    "    'youyongguan': '游泳馆',\n",
    "} # A dict for name transformation. Other transforming rules can be added to the dict directly. \n",
    "\n",
    "def apNameMap(s: str): \n",
    "    '''\n",
    "    Mapping function for `ap_name` transformation. \n",
    "    '''\n",
    "    for buildingAbbr in apNameMapDict.keys():\n",
    "        if s.count(buildingAbbr): # If name abbreviation matched, return corresponding building name.\n",
    "            return apNameMapDict[buildingAbbr]\n",
    "    return s\n",
    "\n",
    "dataset['ap_name'] = dataset['ap_name'].apply(apNameMap) # Using `.apply()` to realize mapping. \n",
    "dataset.groupby(by='ap_name').size() # Count the size as the result. \n",
    "\n",
    "# An alternative way can be using `column = column.str.replace('pat/regex', 'replace', regex=True)` for each situation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 3:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ap_name</th>\n",
       "      <th>ap_mac</th>\n",
       "      <th>ssid</th>\n",
       "      <th>account</th>\n",
       "      <th>mac</th>\n",
       "      <th>linktime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>084f-0a37-30c0</td>\n",
       "      <td>084f0a3730c0</td>\n",
       "      <td>iLZU</td>\n",
       "      <td>rnmfv27</td>\n",
       "      <td>ae2887</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>084f-0a37-30c0</td>\n",
       "      <td>084f0a3730c0</td>\n",
       "      <td>iLZU</td>\n",
       "      <td>fbnsx20</td>\n",
       "      <td>fa341c</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0_no_name</td>\n",
       "      <td>5cc9999a3c80</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>9ce33f</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0_no_name</td>\n",
       "      <td>5cc9999a3c80</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>3ca616</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0_no_name</td>\n",
       "      <td>5cc9999a3c80</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>182195</td>\n",
       "      <td>08:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27545</th>\n",
       "      <td>游泳馆</td>\n",
       "      <td>60da838bc730</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>f89a78</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27546</th>\n",
       "      <td>游泳馆</td>\n",
       "      <td>60da838bba10</td>\n",
       "      <td>ChinaNet-WiFi</td>\n",
       "      <td></td>\n",
       "      <td>74adb7</td>\n",
       "      <td>08:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27547</th>\n",
       "      <td>游泳馆</td>\n",
       "      <td>60da838bba10</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>cc2d83</td>\n",
       "      <td>08:40:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27548</th>\n",
       "      <td>游泳馆</td>\n",
       "      <td>60da838bcc10</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>308454</td>\n",
       "      <td>08:20:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27549</th>\n",
       "      <td>游泳馆</td>\n",
       "      <td>60da838bbe90</td>\n",
       "      <td>LZU</td>\n",
       "      <td></td>\n",
       "      <td>084acf</td>\n",
       "      <td>09:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>27550 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ap_name        ap_mac           ssid  account     mac  linktime\n",
       "0      084f-0a37-30c0  084f0a3730c0           iLZU  rnmfv27  ae2887  09:00:00\n",
       "1      084f-0a37-30c0  084f0a3730c0           iLZU  fbnsx20  fa341c  09:00:00\n",
       "2           0_no_name  5cc9999a3c80            LZU           9ce33f  09:00:00\n",
       "3           0_no_name  5cc9999a3c80            LZU           3ca616  09:00:00\n",
       "4           0_no_name  5cc9999a3c80            LZU           182195  08:20:00\n",
       "...               ...           ...            ...      ...     ...       ...\n",
       "27545             游泳馆  60da838bc730            LZU           f89a78  09:00:00\n",
       "27546             游泳馆  60da838bba10  ChinaNet-WiFi           74adb7  08:40:00\n",
       "27547             游泳馆  60da838bba10            LZU           cc2d83  08:40:00\n",
       "27548             游泳馆  60da838bcc10            LZU           308454  08:20:00\n",
       "27549             游泳馆  60da838bbe90            LZU           084acf  09:00:00\n",
       "\n",
       "[27550 rows x 6 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 3. 对账号进行脱敏处理，具体做法是将字母对应的ASCII码+1，例如a变成b,D变成E (z-a,Z-A,9-0)\n",
    "\n",
    "def decodeCharMap(c: str):\n",
    "    '''\n",
    "    Character mapping function for ASCII code plus 1 (specially, z -> a, Z -> A, 9 -> 0).\n",
    "    '''\n",
    "    specialCharMap = {'9': '0', 'Z': 'A', 'z': 'a'} # Special mapping. \n",
    "    return chr(ord(c)+1) if c not in specialCharMap.keys() else specialCharMap[c] # `chr(ord(c)+1)` for ASCII+1. \n",
    "\n",
    "def decodeNameMap(s: str):\n",
    "    '''\n",
    "    Account name mapping function based on `decodeCharMap()`.\n",
    "    '''\n",
    "    return \"\".join([decodeCharMap(c) for c in s]) # Map each character and concatenate them together. \n",
    "\n",
    "dataset['account'] = dataset['account'].apply(decodeNameMap) # Using `.apply()` to realize mapping. \n",
    "dataset # Show result. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 4:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ap_name\n",
       "天山堂    2921\n",
       "昆仑堂     586\n",
       "游泳馆       5\n",
       "贺兰堂     237\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 4. 统计该时刻，题目2中的每个楼里有多少终端在线。\n",
    "\n",
    "mask = reduce(pd.DataFrame.__or__, [dataset['ap_name'] == name for name in apNameMapDict.values()])\n",
    "# Create a mask for filtering data. Building names obtained from `apNameMapDict.values()` in Exercise 2. \n",
    "dataset = dataset[mask] # Filtering data. \n",
    "dataset.groupby(by='ap_name').size() # Count the size as the result. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise 5:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "        text-align: right;\n",
       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Room</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a101</th>\n",
       "      <td>66</td>\n",
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       "    <tr>\n",
       "      <th>a102</th>\n",
       "      <td>3</td>\n",
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       "      <th>a103</th>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a104</th>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a105</th>\n",
       "      <td>33</td>\n",
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       "    <tr>\n",
       "      <th>a106</th>\n",
       "      <td>1</td>\n",
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       "      <th>a110</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a201</th>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a202</th>\n",
       "      <td>7</td>\n",
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       "    <tr>\n",
       "      <th>a203</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a204</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a205</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a206</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a208</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a210</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a212</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a301</th>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a302</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a303</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a304</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a305</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a306</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a307</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a308</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a309</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a310</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a312</th>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a314</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a401</th>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a402</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a403</th>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a404</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a405</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a406</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a407</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a408</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a409</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a410</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a412</th>\n",
       "      <td>26</td>\n",
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       "    <tr>\n",
       "      <th>a414</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a501</th>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a502</th>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a503</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a504</th>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a505</th>\n",
       "      <td>45</td>\n",
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       "    <tr>\n",
       "      <th>a507</th>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>a508</th>\n",
       "      <td>40</td>\n",
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       "    <tr>\n",
       "      <th>a509</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a510</th>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>43</td>\n",
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       "    <tr>\n",
       "      <th>a514</th>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a601</th>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a602</th>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a603</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a604</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a605</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a606</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a607</th>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a608</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a609</th>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a610</th>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a612</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a614</th>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a616</th>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abqgd</th>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>abqtd</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aqybqgd</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b101</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b102</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b103</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b104</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b105</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b106</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b107</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b201</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b203</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b204</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b205</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b206</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b208</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b301</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b302</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b304</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b305</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b306</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b307</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b308</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b401</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b402</th>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b403</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b404</th>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b405</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b406</th>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b407</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b501</th>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b502</th>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b503</th>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b504</th>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b506</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b601</th>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b602</th>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b603</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b604</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b605</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bqwzl</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c102</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c201</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c301</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c302</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dt</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>eldt</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Count\n",
       "Room          \n",
       "401         33\n",
       "a101        66\n",
       "a102         3\n",
       "a103        41\n",
       "a104        31\n",
       "a105        33\n",
       "a106         1\n",
       "a108        14\n",
       "a110         8\n",
       "a201        54\n",
       "a202         7\n",
       "a203        40\n",
       "a204        18\n",
       "a205        27\n",
       "a206         3\n",
       "a208        22\n",
       "a210        24\n",
       "a212         6\n",
       "a301        41\n",
       "a302        18\n",
       "a303        19\n",
       "a304        32\n",
       "a305        19\n",
       "a306        20\n",
       "a307        22\n",
       "a308        30\n",
       "a309        19\n",
       "a310         8\n",
       "a312        70\n",
       "a314         4\n",
       "a401        36\n",
       "a402         6\n",
       "a403        60\n",
       "a404         8\n",
       "a405         1\n",
       "a406        14\n",
       "a407         3\n",
       "a408        35\n",
       "a409         1\n",
       "a410        25\n",
       "a412        26\n",
       "a414        27\n",
       "a501        68\n",
       "a502        99\n",
       "a503        23\n",
       "a504       170\n",
       "a505        45\n",
       "a507         4\n",
       "a508        40\n",
       "a509         7\n",
       "a510        52\n",
       "a512        43\n",
       "a514        80\n",
       "a601        58\n",
       "a602       115\n",
       "a603         5\n",
       "a604        35\n",
       "a605         1\n",
       "a606        38\n",
       "a607        34\n",
       "a608        35\n",
       "a609        48\n",
       "a610        23\n",
       "a612        14\n",
       "a614        17\n",
       "a616        29\n",
       "abqgd        3\n",
       "abqtd        3\n",
       "aqybqgd      5\n",
       "b101        12\n",
       "b102        25\n",
       "b103         7\n",
       "b104         7\n",
       "b105        16\n",
       "b106         8\n",
       "b107        11\n",
       "b201         5\n",
       "b203         4\n",
       "b204        19\n",
       "b205         9\n",
       "b206        15\n",
       "b208         4\n",
       "b301         5\n",
       "b302        15\n",
       "b304         3\n",
       "b305         7\n",
       "b306         5\n",
       "b307        16\n",
       "b308        15\n",
       "b401         1\n",
       "b402        59\n",
       "b403         2\n",
       "b404        40\n",
       "b405         1\n",
       "b406        13\n",
       "b407         3\n",
       "b501        79\n",
       "b502        52\n",
       "b503        93\n",
       "b504        41\n",
       "b506        15\n",
       "b601        56\n",
       "b602        92\n",
       "b603        45\n",
       "b604         5\n",
       "b605         1\n",
       "bqwzl        2\n",
       "c102         5\n",
       "c201         3\n",
       "c301         3\n",
       "c302         3\n",
       "dt          11\n",
       "eldt        19"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 5. 用图或表展示天山堂各教室的终端数量。\n",
    "\n",
    "plotData = pd.read_json('lzuwifi.json', lines=True) # Read the data again. \n",
    "plotData = plotData[plotData['ap_name'].str.count('tst') > 0] # Select records related to TianShanTang.\n",
    "plotData['ap_name'] = plotData['ap_name'].apply(lambda s: s.replace('-', '_').split('_')[3]) \n",
    "# Just truncate the slice contains room number. Apply `str.replace()` to normalize format since some \n",
    "# AP in the same room are named with suffix \"-1\" (like \"yz_tst_4f_a402-01\" and \"yz_tst_5f_a507-1\"). \n",
    "plotData.rename({'ap_name': 'Room'}, axis=1, inplace=True) \n",
    "# Rename the column, the new name conveys the meaning of the column.\n",
    "plotData = plotData.groupby(by='Room').size() # Count the number of devices for each classroom. \n",
    "plotData = pd.DataFrame(plotData, columns=['Count']) # Convert to table. \n",
    "pd.set_option('display.max_rows', 150) # Reset the display limit to show the whole table.\n",
    "plotData # Show table\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x2880 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['figure.figsize'] = (20.0, 40.0)\n",
    "# Set figure to a customized size to have better appearance. \n",
    "plt.rcParams.update({\"font.size\":15})\n",
    "# Set font size to a customized value for better appearance. \n",
    "fig = plt.subplot()\n",
    "# Create a empty plot.\n",
    "_w = fig.barh(plotData.index, plotData['Count'])\n",
    "# Create a bar chart (rotated)."
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "40d3a090f54c6569ab1632332b64b2c03c39dcf918b08424e98f38b5ae0af88f"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
